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A Collaborative Model of Low-Level and High-Level Descriptors for Semantics-Based Music Information Retrieval

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4 Author(s)
Jun Wang ; Inst. of Acoust., Chinese Acad. of Sci., Beijing ; Haojiang Deng ; Qin Yan ; JinLin Wang

Although technologies of both low-level and high-level descriptors for music information retrieval (MIR) are advancing, there are some essential deficiencies while utilizing them separately. In this paper we propose a model where the low-level and high-level descriptors collaborate to support semantics-based MIR. The ontology of ldquomusic scenerdquo domain is constructed as a demonstration, and a set of domain related low-level and high-level descriptor analyses are introduced. Given the domain ontology and the analysis results as input, an abduction process is adopted to compute the semantics-based interpretations. Evaluations show that the collaborative model does not only give a better recall rate of semantics-based retrieval than separated models, but also maintains a promising precision meanwhile.

Published in:

Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on  (Volume:1 )

Date of Conference:

9-12 Dec. 2008